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imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification
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motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully completed a PhD
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are looking for a motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully
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applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term
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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC
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. Job description The geological storage of hydrogen is a promising alternative for large-scale energy storage in support of expanding renewable energy systems. The North Sea has hundreds of depleted and
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Vacancies Postdoc Position: Multi-Modal AI for Early Detection of Liver Cancer Key takeaways You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and
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the heating of microscopic aggregates of thermoplastic cut tapes, with the goal of accelerating process development for circular materials. You will generate valuable multi-scale data (micro- to mesoscopic
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics